关键词:人群密度估计; 模糊神经网络; 灰度共生矩阵; 智能视频监控
Crowd density estimation of wide scene based on fuzzy neural network
TANG Qing1, WANG Zhi-yan1, YAN He-ping2, XU Xiao-wei3a,3b
(1.School of Computer Science & Engineering, South China University of Technology, Guangzhou 510006, China; 2. No.75771 Unit of PLA, Guangzhou 510540, China; 3 a.Shool of Information Science & Technology,b.Key Laboratory of Digital Life, Sun Yatsen University, Guangzhou 510275,China)
Abstract:This paper proposed a crowd density estimation method based on a fuzzy neural network. According to the fuzzy phenomena used by human vision, it was more accordant with cognitive style of human vision by using fuzzy sets to describe crowd density range than other definite measures. Defined functions of membership degree of indicators of the grey level dependence matrix (GLDM) by statistical method and designed a fuzzy neural network based on the error back propagation (BP) training algorithm to calculate the membership degree of the input pattern, which could be explained reasonably according to the temporal continuity of variety of the crowd density. Experimental results show this method performs well and improves the accuracy of estimation. ......